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Mendeley readers
Chapter title |
Quantized Densely Connected U-Nets for Efficient Landmark Localization
|
---|---|
Chapter number | 21 |
Book title |
Computer Vision – ECCV 2018
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-01219-9_21 |
Book ISBNs |
978-3-03-001218-2, 978-3-03-001219-9
|
Authors |
Zhiqiang Tang, Xi Peng, Shijie Geng, Lingfei Wu, Shaoting Zhang, Dimitris Metaxas, Tang, Zhiqiang, Peng, Xi, Geng, Shijie, Wu, Lingfei, Zhang, Shaoting, Metaxas, Dimitris |
Mendeley readers
The data shown below were compiled from readership statistics for 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 144 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 33 | 23% |
Student > Ph. D. Student | 22 | 15% |
Researcher | 17 | 12% |
Student > Bachelor | 10 | 7% |
Student > Doctoral Student | 6 | 4% |
Other | 15 | 10% |
Unknown | 41 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 71 | 49% |
Engineering | 17 | 12% |
Mathematics | 2 | 1% |
Design | 2 | 1% |
Agricultural and Biological Sciences | 1 | <1% |
Other | 5 | 3% |
Unknown | 46 | 32% |